Generative AI Fundamentals
Earned août 4, 2023 EDT
Transformer Models and BERT Model
Earned août 4, 2023 EDT
Encoder-Decoder Architecture
Earned août 4, 2023 EDT
Attention Mechanism
Earned août 4, 2023 EDT
Introduction to Image Generation
Earned août 3, 2023 EDT
Introduction to Responsible AI
Earned août 3, 2023 EDT
Introduction to Large Language Models
Earned août 3, 2023 EDT
Introduction to Generative AI
Earned août 2, 2023 EDT
Intro to BigQuery: Analytics & Machine Learning
Earned juin 2, 2022 EDT
Cloud Hero Infra II Skills
Earned juin 1, 2022 EDT
Earn a skill badge by completing the Introduction to Generative AI, Introduction to Large Language Models and Introduction to Responsible AI courses. By passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI.
A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.
En savoir plus
This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.This course is estimated to take approximately 45 minutes to complete.
En savoir plus
This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.
En savoir plus
This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering. This course is estimated to take approximately 45 minutes to complete.
En savoir plus
This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
En savoir plus
This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 7 AI principles.
En savoir plus
This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
En savoir plus
This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
En savoir plus
Welcome Gamers! Today's game is all about experimenting with Big Query for Machine Learning! Use real life case studies to learn various concepts of BQML and have fun. Take labs to earn points. The faster you complete the lab objectives, the higher your score.
En savoir plus
Get hands-on practice with Google Cloud! You will compete with your peers to see who can finish this game with the most points. Speed and accuracy will be used to calculate your scores — earn points by completing the labs accurately and bonus points for speed! Be sure to click “End” where you’re done with each lab to be rewarded your points.
Generative AI Fundamentals
Earned août 4, 2023 EDT
Transformer Models and BERT Model
Earned août 4, 2023 EDT
Encoder-Decoder Architecture
Earned août 4, 2023 EDT
Attention Mechanism
Earned août 4, 2023 EDT
Introduction to Image Generation
Earned août 3, 2023 EDT
Introduction to Responsible AI
Earned août 3, 2023 EDT
Introduction to Large Language Models
Earned août 3, 2023 EDT
Introduction to Generative AI
Earned août 2, 2023 EDT
Intro to BigQuery: Analytics & Machine Learning
Earned juin 2, 2022 EDT
Cloud Hero Infra II Skills
Earned juin 1, 2022 EDT